RESUMO
BACKGROUND: An intervention trial found a trend for shorter length of stay (LOS) in patients with community-acquired pneumonia (CAP) when the CURB65 score was combined with the prognostic biomarker proadrenomedullin (ProADM) (CURB65-A). However, the efficacy and safety of CURB65-A in real life situations remains unclear. METHODS: From September, 2011, until April, 2012, we performed a post-study prospective observational quality control survey at the cantonal Hospital of Aarau, Switzerland of consecutive adults with CAP. The primary endpoint was length of stay (LOS) during the index hospitalization and within 30 days. We compared the results with two well-defined historic cohorts of CAP patients hospitalized in the same hospital with the use of multivariate regression, namely 83 patients in the observation study without ProADM (OPTIMA I) and the 169 patients in the intervention study (OPTIMA II RCT). RESULTS: A total of 89 patients with confirmed CAP were included. As compared to patients with CURB65 only observed in the OPTIMA I study, adjusted regression analysis showed a significant shorter initial LOS (7.5 vs. 10.4 days; -2.32; 95% CI, -4.51 to -0.13; p = 0.04) when CURB65-A was used in clinical routine. No significant differences were found for LOS within 30 days. There were no significant differences in safety outcomes in regard to mortality and ICU admission between the cohorts. CONCLUSION: This post-study survey provides evidence that the use of ProADM in combination with CURB65 (CURB65-A) in "real life" situations reduces initial LOS compared to the CURB65 score alone without apparent negative effects on patient safety.
RESUMO
BACKGROUND: Urinary tract infections (UTIs) are among the most common infectious diseases and drivers of antibiotic use and in-hospital days. A reduction of antibiotic use potentially lowers the risk of antibiotic resistance. An early and adequate risk assessment combining medical, biopsychosocial and functional risk scores has the potential to optimize site-of-care decisions and thus allocation of limited health-care resources. The aim of this factorial design study is twofold: first, for Intervention A, it investigates antibiotic exposure of patients treated with a protocol based on the type of UTI, procalcitonin (PCT) and pyuria. Second, for Intervention B, it investigates the usefulness of the prognostic biomarker proadrenomedullin (ProADM) integrated into an interdisciplinary assessment bundle for site-of-care decisions. METHODS AND DESIGN: This randomized controlled open-label trial has a factorial design (2 × 2). Randomization of patients will be based on a pre-specified computer-generated randomization list and independent for the two interventions. Adults with UTI presenting to the emergency department (ED) will be screened and enrolled after providing informed consent. For our first Intervention (A), we developed a protocol based on previous observational research to recommend initiation and duration of antibiotic use based on the clinical presentation of UTI, pyuria and PCT levels. For our second intervention (B), an algorithm was developed to support site-of care decisions based on the prognostic marker ProADM and distinct nursing factors on days 1 and 3. Both interventions will be compared with a control group conforming to the guidelines. The primary endpoints for the two interventions will be: (A) overall exposure to antibiotics and (B) length of physician-led hospitalization within a follow-up of 30 days. Endpoints are assessed at discharge from hospital, and 30 and 90 days after admission. We plan to screen 300 patients and enroll 250 for an anticipated estimated loss of follow-up of 20%. This will provide adequate power for the two interventions. DISCUSSION: This trial investigates two strategies for improved individualized medical care in patients with UTI. The minimally effective duration of antibiotic therapy is not known for UTIs, which is important for reducing the selection pressure for antibiotic resistance, costs and drug-related side effects. Triage decisions must be improved to reflect the true medical, biopsychosocial and functional risks in order to allocate patients to the most appropriate care setting and reduce hospital-acquired disability. TRIAL REGISTRATION NUMBER: ISRCTN13663741.
Assuntos
Adrenomedulina/sangue , Antibacterianos/uso terapêutico , Calcitonina/sangue , Precursores de Proteínas/sangue , Projetos de Pesquisa , Infecções Urinárias/tratamento farmacológico , Algoritmos , Biomarcadores/sangue , Peptídeo Relacionado com Gene de Calcitonina , Protocolos Clínicos , Serviço Hospitalar de Emergência , Fidelidade a Diretrizes , Humanos , Tempo de Internação , Admissão do Paciente , Alta do Paciente , Guias de Prática Clínica como Assunto , Medicina de Precisão , Valor Preditivo dos Testes , Suíça , Fatores de Tempo , Resultado do Tratamento , Triagem , Infecções Urinárias/sangue , Infecções Urinárias/microbiologia , Infecções Urinárias/urinaRESUMO
PURPOSE OF REVIEW: In patients with community-acquired pneumonia (CAP), blood biomarkers can help to substantially improve individual decisions involving initiation, (de-)intensification, and cessation of antibiotics, and initial risk stratification, site-of-care assignment (outpatient versus ward versus ICU), and discharge. To illustrate these processes, this review summarizes recent findings from trials investigating the use of two hormokines, procalcitonin (PCT) or proadrenomedullin (ProADM), in personalized treatment and management decisions in CAP patients. RECENT FINDINGS: Many biomarkers from distinct pathophysiological pathways have been evaluated in observational studies. However, only few analytes have been tested for efficacy and safety in numerous, large observational studies or in prospective, randomized, interventional trials. Among the latter, PCT has been demonstrated to be well tolerated and highly effective for monitoring and de-escalating antibiotic therapy. ProADM has shown higher accuracy for short-term and long-term adverse outcome prediction and improves prognostic accuracy when combined with current clinical risk scores, that is, Pneumonia Severity Index, the CURB65 (confusion, uremia, respiratory rate, blood pressure, age at least 65 years) score, and Risk of Early Admission to ICU, compared to applying the respective score alone. ProADM use has - in a pilot interventional study - improved site-of-care decisions and tended to shorten length hospitalization. SUMMARY: Inclusion of biomarker data in clinical algorithms improves individual decision-making in CAP patients. Interventional trials should be conducted to determine these markers' ultimate utility in patient management.
Assuntos
Adrenomedulina/sangue , Calcitonina/sangue , Pneumonia/sangue , Precursores de Proteínas/sangue , Antibacterianos/uso terapêutico , Biomarcadores/sangue , Peptídeo Relacionado com Gene de Calcitonina , Infecções Comunitárias Adquiridas/sangue , Humanos , Pneumonia/terapia , Ensaios Clínicos Controlados Aleatórios como Assunto , Índice de Gravidade de DoençaRESUMO
Concerns about inadequate performance and complexity limit routine use of clinical risk scores in lower respiratory tract infections. Our aim was to study feasibility and effects of adding the biomarker proadrenomedullin (proADM) to the confusion, urea>7 mmol·L(-1), respiratory rate≥30 breaths·min(-1), blood pressure<90 mmHg (systolic) or ≤60 mmHg (diastolic), age≥65 years (CURB-65) score on triage decisions and length of stay. In a randomised controlled proof-of-concept intervention trial, triage and discharge decisions were made for adults with lower respiratory tract infection according to interprofessional assessment using medical and nursing risk scores either without (control group) or with (proADM group) knowledge of proADM values, measured on admission, and on days 3 and 6. An adjusted generalised linear model was calculated to investigate the effect of our intervention. On initial presentation the algorithms were overruled in 123 (39.3%) of the cases. Mean length of stay tended to be shorter in the proADM (n=154, 6.3 days) compared with the control group (n=159, 6.8 days; adjusted regression coefficient -0.19, 95% CI -0.41-0.04; p=0.1). This trend was robust in subgroup analyses and for overall length of stay within 90 days (7.2 versus 7.9 days; adjusted regression coefficient -0.18, 95% CI -0.40-0.05; p=0.13). There were no differences in adverse outcomes or readmission. Logistic obstacles and overruling are major challenges to implement biomarker-enhanced algorithms in clinical settings and need to be addressed to shorten length of stay.